English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Purpose:  Monte Carlo methods are considered as the gold standard for dosimetric computations in radiotherapy. Their execution time is, however, still an obstacle to the routine use of Monte Carlo packages in a clinical setting. To address this problem, a completely new, and designed from the ground up for the GPU, Monte Carlo dose calculation package for voxelized geometries is proposed: GPUMCD .    Method:   GPUMCD  implements a coupled photon‐electron Monte Carlo simulation for energies in the range of 0.01–20 MeV. An analog simulation of photon interactions is used and a class II condensed history method has been implemented for the simulation of electrons. A new GPU random number generator, some divergence reduction methods, as well as other optimization strategies are also described.  GPUMCD  was run on a NVIDIA GTX480, while single threaded implementations of EGSnrc and  DPM  were run on an Intel Core i7 860.    Results:  Dosimetric results obtained with GPUMCD  were compared to EGSnrc. In all but one test case, 98% or more of all significant voxels passed the gamma criteria of 2%‐2 mm. In terms of execution speed and efficiency,  GPUMCD  is more than 900 times faster than EGSnrc and more than 200 times faster than  DPM , a Monte Carlo package aiming fast executions. Absolute execution times of less than 0.3 s are found for the simulation of 1M electrons and 4M photons in water for monoenergetic beams of 15 MeV, including GPU‐CPU memory transfers.    Conclusion:   GPUMCD , a new GPU‐oriented Monte Carlo dose calculation platform, has been compared to EGSnrc and  DPM  in terms of dosimetric results and execution speed. Its accuracy and speed make it an interesting solution for full Monte Carlo dose calculation in radiation oncology.

GPUMCD : A new GPU‐oriented Monte Carlo dose calculation platform